Wireless sensor networks for healthcare

Jeonggil Ko, Chenyang Lu, Mani B. Srivastava, John A. Stankovic, Andreas Terzis, Matt Welsh

Research output: Contribution to journalArticlepeer-review

443 Citations (Scopus)

Abstract

Driven by the confluence between the need to collect data about people's physical, physiological, psychological, cognitive, and behavioral processes in spaces ranging from personal to urban and the recent availability of the technologies that enable this data collection, wireless sensor networks for healthcare have emerged in the recent years. In this review, we present some representative applications in the healthcare domain and describe the challenges they introduce to wireless sensor networks due to the required level of trustworthiness and the need to ensure the privacy and security of medical data. These challenges are exacerbated by the resource scarcity that is inherent with wireless sensor network platforms. We outline prototype systems spanning application domains from physiological and activity monitoring to large-scale physiological and behavioral studies and emphasize ongoing research challenges.

Original languageEnglish
Article number5570866
Pages (from-to)1947-1960
Number of pages14
JournalProceedings of the IEEE
Volume98
Issue number11
DOIs
Publication statusPublished - 2010 Nov

Bibliographical note

Funding Information:
Manuscript received January 29, 2010; revised May 2, 2010; accepted May 21, 2010. Date of publication September 13, 2010; date of current version October 20, 2010. The work of J. Ko and A. Terzis was supported in part by the National Science Foundation (NSF) under Grant CNS-085591. The work of C. Lu was supported by the National Center for Research Resources (NCRR) under Grant UL1-RR024992, part of the National Institutes of Health (NIH) and NIH Roadmap for Medical Research. The work of M. B. Srivastava was supported in part by the University of California at Los Angeles (UCLA) Center for Embedded Networked Sensing (CENS), and the NSF under Awards CNS-0627084 and CNS-0910706. The work of J. A. Stankovic was supported by the NSF under Grants IIS-0931972 and EECS-0901686. The work of M. Welsh was supported by the NSF under Grants CNS-0546338 and CNS-0519675 and also by Microsoft, Intel, Sun, IBM, ArsLogica, and Siemens. J. Ko and A. Terzis are with the Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218 USA (e-mail: jgko@cs.jhu.edu; terzis@cs.jhu.edu). C. Lu is with the Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130 USA (e-mail: lu@cse.wustl.edu). M. B. Srivastava is with the Electrical Engineering Department, University of California at Los Angeles, Los Angeles, CA 90095 USA (e-mail: mbs@ucla.edu). J. A. Stankovic is with the Department of Computer Science, University of Virginia, Charlottesville, VA 22904 USA (e-mail: stankovic@cs.virginia.edu). M. Welsh is with the School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138 USA (e-mail: mdw@eecs.harvard.edu).

Funding Information:
Dr. Srivastava received the President of India s Gold Medal in 1985, the NSF Career Award in 1997, and the Okawa Foundation Grant in 1998. He currently serves as the Editor-in-Chief of the ACM Sigmobile Mobile Computing and Communications Review, and as an Associate Editor for the ACM/IEEE TRANSACTIONS ON NETWORKING, and the ACM Transactions on Sensor Networks.

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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